php-ml/tests/Phpml/Association/AprioriTest.php
Tomáš Votruba a348111e97 Add PHPStan and level to max (#168)
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2018-01-06 13:09:33 +01:00

208 lines
6.9 KiB
PHP

<?php
declare(strict_types=1);
namespace Phpml\Tests\Association;
use Phpml\Association\Apriori;
use Phpml\ModelManager;
use PHPUnit\Framework\TestCase;
use ReflectionClass;
class AprioriTest extends TestCase
{
private $sampleGreek = [
['alpha', 'beta', 'epsilon'],
['alpha', 'beta', 'theta'],
['alpha', 'beta', 'epsilon'],
['alpha', 'beta', 'theta'],
];
private $sampleChars = [
['E', 'D', 'N', 'E+N', 'EN'],
['E', 'R', 'N', 'E+R', 'E+N', 'ER', 'EN'],
['D', 'R'],
['E', 'D', 'N', 'E+N'],
['E', 'R', 'N', 'E+R', 'E+N', 'ER'],
['E', 'D', 'R', 'E+R', 'ER'],
['E', 'D', 'N', 'E+N', 'EN'],
['E', 'R', 'E+R'],
['E'],
['N'],
];
private $sampleBasket = [
[1, 2, 3, 4],
[1, 2, 4],
[1, 2],
[2, 3, 4],
[2, 3],
[3, 4],
[2, 4],
];
public function testGreek(): void
{
$apriori = new Apriori(0.5, 0.5);
$apriori->train($this->sampleGreek, []);
$this->assertEquals('beta', $apriori->predict([['alpha', 'epsilon'], ['beta', 'theta']])[0][0][0]);
$this->assertEquals('alpha', $apriori->predict([['alpha', 'epsilon'], ['beta', 'theta']])[1][0][0]);
}
public function testPowerSet(): void
{
$apriori = new Apriori();
$this->assertCount(8, $this->invoke($apriori, 'powerSet', [['a', 'b', 'c']]));
}
public function testApriori(): void
{
$apriori = new Apriori(3 / 7);
$apriori->train($this->sampleBasket, []);
$L = $apriori->apriori();
$this->assertCount(0, $L[3]);
$this->assertCount(4, $L[2]);
$this->assertTrue($this->invoke($apriori, 'contains', [$L[2], [1, 2]]));
$this->assertFalse($this->invoke($apriori, 'contains', [$L[2], [1, 3]]));
$this->assertFalse($this->invoke($apriori, 'contains', [$L[2], [1, 4]]));
$this->assertTrue($this->invoke($apriori, 'contains', [$L[2], [2, 3]]));
$this->assertTrue($this->invoke($apriori, 'contains', [$L[2], [2, 4]]));
$this->assertTrue($this->invoke($apriori, 'contains', [$L[2], [3, 4]]));
}
public function testGetRules(): void
{
$apriori = new Apriori(0.4, 0.8);
$apriori->train($this->sampleChars, []);
$this->assertCount(19, $apriori->getRules());
}
public function testAntecedents(): void
{
$apriori = new Apriori();
$this->assertCount(6, $this->invoke($apriori, 'antecedents', [['a', 'b', 'c']]));
}
public function testItems(): void
{
$apriori = new Apriori();
$apriori->train($this->sampleGreek, []);
$this->assertCount(4, $this->invoke($apriori, 'items', []));
}
public function testFrequent(): void
{
$apriori = new Apriori(0.51);
$apriori->train($this->sampleGreek, []);
$this->assertCount(0, $this->invoke($apriori, 'frequent', [[['epsilon'], ['theta']]]));
$this->assertCount(2, $this->invoke($apriori, 'frequent', [[['alpha'], ['beta']]]));
}
public function testCandidates(): void
{
$apriori = new Apriori();
$apriori->train($this->sampleGreek, []);
$this->assertArraySubset([0 => ['alpha', 'beta']], $this->invoke($apriori, 'candidates', [[['alpha'], ['beta'], ['theta']]]));
$this->assertArraySubset([1 => ['alpha', 'theta']], $this->invoke($apriori, 'candidates', [[['alpha'], ['beta'], ['theta']]]));
$this->assertArraySubset([2 => ['beta', 'theta']], $this->invoke($apriori, 'candidates', [[['alpha'], ['beta'], ['theta']]]));
$this->assertCount(3, $this->invoke($apriori, 'candidates', [[['alpha'], ['beta'], ['theta']]]));
}
public function testConfidence(): void
{
$apriori = new Apriori();
$apriori->train($this->sampleGreek, []);
$this->assertEquals(0.5, $this->invoke($apriori, 'confidence', [['alpha', 'beta', 'theta'], ['alpha', 'beta']]));
$this->assertEquals(1, $this->invoke($apriori, 'confidence', [['alpha', 'beta'], ['alpha']]));
}
public function testSupport(): void
{
$apriori = new Apriori();
$apriori->train($this->sampleGreek, []);
$this->assertEquals(1.0, $this->invoke($apriori, 'support', [['alpha', 'beta']]));
$this->assertEquals(0.5, $this->invoke($apriori, 'support', [['epsilon']]));
}
public function testFrequency(): void
{
$apriori = new Apriori();
$apriori->train($this->sampleGreek, []);
$this->assertEquals(4, $this->invoke($apriori, 'frequency', [['alpha', 'beta']]));
$this->assertEquals(2, $this->invoke($apriori, 'frequency', [['epsilon']]));
}
public function testContains(): void
{
$apriori = new Apriori();
$this->assertTrue($this->invoke($apriori, 'contains', [[['a'], ['b']], ['a']]));
$this->assertTrue($this->invoke($apriori, 'contains', [[[1, 2]], [1, 2]]));
$this->assertFalse($this->invoke($apriori, 'contains', [[['a'], ['b']], ['c']]));
}
public function testSubset(): void
{
$apriori = new Apriori();
$this->assertTrue($this->invoke($apriori, 'subset', [['a', 'b'], ['a']]));
$this->assertTrue($this->invoke($apriori, 'subset', [['a'], ['a']]));
$this->assertFalse($this->invoke($apriori, 'subset', [['a'], ['a', 'b']]));
}
public function testEquals(): void
{
$apriori = new Apriori();
$this->assertTrue($this->invoke($apriori, 'equals', [['a'], ['a']]));
$this->assertFalse($this->invoke($apriori, 'equals', [['a'], []]));
$this->assertFalse($this->invoke($apriori, 'equals', [['a'], ['b', 'a']]));
}
/**
* Invokes objects method. Private/protected will be set accessible.
*
* @param string $method Method name to be called
* @param array $params Array of params to be passed
*
* @return mixed
*/
public function invoke(&$object, string $method, array $params = [])
{
$reflection = new ReflectionClass(get_class($object));
$method = $reflection->getMethod($method);
$method->setAccessible(true);
return $method->invokeArgs($object, $params);
}
public function testSaveAndRestore(): void
{
$classifier = new Apriori(0.5, 0.5);
$classifier->train($this->sampleGreek, []);
$testSamples = [['alpha', 'epsilon'], ['beta', 'theta']];
$predicted = $classifier->predict($testSamples);
$filename = 'apriori-test-'.random_int(100, 999).'-'.uniqid();
$filepath = tempnam(sys_get_temp_dir(), $filename);
$modelManager = new ModelManager();
$modelManager->saveToFile($classifier, $filepath);
$restoredClassifier = $modelManager->restoreFromFile($filepath);
$this->assertEquals($classifier, $restoredClassifier);
$this->assertEquals($predicted, $restoredClassifier->predict($testSamples));
}
}